- 🎓 Future Computer Science student
- ⚙️ Developing production‑grade products since I was 13
- 💻 Passionate about backend development, CI/CD, and scalable systems
- Distributed Systems & Cloud Architecture: Optimizing data persistence and low-latency caching strategies in edge computing.
- Database Engineering: Studying query optimization, indexing internals, and probabilistic data structures.
- Weather — Production-grade weather app (Flask, PostgreSQL, Docker, CI/CD, 96% tests).
- Algorithms & Data Structures — Python implementations with unit tests.
- CLI Tools — Experiments with Python automation.
Instead of relying on heavy third-party tracking widgets, here is a direct map of my hands-on technical proficiency based on production deployment and test coverage:
| Category | Technologies & Tools |
|---|---|
| Backend & Architecture | Python 3.13 • Flask • Gunicorn • REST APIs • OpenAPI (Swagger) |
| Data & Caching | PostgreSQL • SQLAlchemy • Alembic migrations • Redis (Upstash) |
| DevOps & Infrastructure | Docker • Docker Compose • Render • GitHub Actions (CI/CD) |
| Quality & Observability | Pytest • Mocking • Codecov • Prometheus metrics • Structured JSON logging |
| Security & Linting | Flask-Talisman • Ruff • Mypy (Strict Type Hinting) • Pre-commit hooks |
- 🛠 Open source contributor (Python, Docker, SQLAlchemy, PostgreSQL)
- ⚙️ Focused on backend architecture and CI/CD pipelines
- 🌍 Helping build scalable and reliable systems for the community
